Using PyTorch for Monocular Depth Estimation Webinar Case Studies Using PyTorch for Monocular Depth Estimation Webinar In this webinar, Bob Chesebrough of Intel guides you through the steps he took to…PyTorch FoundationSeptember 27, 2024
IBM Research: Bringing massive AI models to any cloud Case Studies IBM Research: Bringing massive AI models to any cloud The field of AI is in the middle of a revolution. In recent years, AI…PyTorch FoundationNovember 17, 2022
ChemicalX: A Deep Learning Library for Drug Pair Scoring Case Studies ChemicalX: A Deep Learning Library for Drug Pair Scoring In this paper, we introduce ChemicalX, a PyTorch-based deep learning library designed for providing a…PyTorch FoundationFebruary 10, 2022
The Why and How of Scaling Large Language Models Case Studies The Why and How of Scaling Large Language Models Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and…PyTorch FoundationJanuary 4, 2022
SearchSage: Learning Search Query Representations at Pinterest Case Studies SearchSage: Learning Search Query Representations at Pinterest Pinterest surfaces billions of ideas to people every day, and the neural modeling of embeddings…PyTorch FoundationNovember 9, 2021
Using a Grapheme to Phoneme Model in Cisco’s Webex Assistant Case Studies Using a Grapheme to Phoneme Model in Cisco’s Webex Assistant Grapheme to Phoneme (G2P) is a function that generates pronunciations (phonemes) for words based on…PyTorch FoundationSeptember 7, 2021
University of Pécs enables text and speech processing in Hungarian, builds the BERT-large model with just 1,000 euro with Azure Case Studies University of Pécs enables text and speech processing in Hungarian, builds the BERT-large model with just 1,000 euro with Azure Everyone prefers to use their mother tongue when communicating with chat agents and other automated…PyTorch FoundationAugust 10, 2021
How 3DFY.ai Built a Multi-Cloud, Distributed Training Platform Over Spot Instances with TorchElastic and Kubernetes Case Studies How 3DFY.ai Built a Multi-Cloud, Distributed Training Platform Over Spot Instances with TorchElastic and Kubernetes Deep Learning development is becoming more and more about minimizing the time from idea to…PyTorch FoundationJune 17, 2021
AI21 Labs Trains 178-Billion-Parameter Language Model Using Amazon EC2 P4d Instances, PyTorch Case Studies AI21 Labs Trains 178-Billion-Parameter Language Model Using Amazon EC2 P4d Instances, PyTorch AI21 Labs uses machine learning to develop language models focused on understanding meaning, and in…PyTorch FoundationJune 7, 2021
Deepset achieves a 3.9x speedup and 12.8x cost reduction for training NLP models by working with AWS and NVIDIA Case Studies Deepset achieves a 3.9x speedup and 12.8x cost reduction for training NLP models by working with AWS and NVIDIA At deepset, we’re building the next-level search engine for business documents. Our core product, Haystack,…PyTorch FoundationJanuary 27, 2021
Graph Convolutional Operators in the PyTorch JIT Case Studies Graph Convolutional Operators in the PyTorch JIT In this talk, scientist Lindsey Gray and Ph.D. student Matthias Fey co-examine how the challenges…PyTorch FoundationDecember 2, 2020
Using deep learning and PyTorch to power next gen aircraft at Caltech Case Studies Using deep learning and PyTorch to power next gen aircraft at Caltech Learn how Caltech’s Center for Autonomous Systems and Technologies (CAST) uses PyTorch to build deep…PyTorch FoundationNovember 14, 2019
PyTorch at Dolby Labs Case Studies PyTorch at Dolby Labs Hear how Dolby Labs is using PyTorch to develop deep learning for audio, and learn…PyTorch FoundationNovember 6, 2019
Mapillary Research: Seamless Scene Segmentation and In-Place Activated BatchNorm Case Studies Mapillary Research: Seamless Scene Segmentation and In-Place Activated BatchNorm With roads in developed countries like the US changing up to 15% annually, Mapillary addresses…PyTorch FoundationJuly 23, 2019